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## Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for MIMO Systems (2011)

Venue: | IEEE Trans. Vehicular Technology |

Citations: | 33 - 29 self |

### Citations

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Citation Context ...merous signal processing and communications techniques for employing the resources efficiently. Recent results on information theory have shown that it is possible to achieve high spectral efficiency =-=[1]-=- and to make wireless links more reliable [2], [3] through the deployment of multiple antennas at both transmitter and receiver. In multi-input multi-output (MIMO) communications systems, the received... |

2124 | A Simple Transmit Diversity Technique for Wireless Communications - Alamouti - 1998 |

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Citation Context ...ques for employing the resources efficiently. Recent results on information theory have shown that it is possible to achieve high spectral efficiency [1] and to make wireless links more reliable [2], =-=[3]-=- through the deployment of multiple antennas at both transmitter and receiver. In multi-input multi-output (MIMO) communications systems, the received signal is composed by the sum of several transmit... |

508 | How much training is needed in multipleantenna wireless links
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Citation Context ...feedback section. These receivers require the estimation of the coefficients used for combining the received data and extracting the desired transmitted symbols. A challenging problem in MIMO systems =-=[15]-=- is encountered when the number of elements in the equalizer or the number of antenna pairs is large, which is key to future applications [16]-[18]. In these situations, an estimation algorithm requir... |

478 |
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Citation Context ...ner has to construct a MIMO equalizer. The optimal MIMO equalizer known as the maximum likelihood sequence estimation (MLSE) receiver was originally developed in the context of multiuser detection in =-=[4]-=-. However, the exponential complexity of the optimal MIMO equalizer makes its implementation costly for multipath channels with severe ISI and MIMO systems with many antennas. In practice, designers o... |

456 | Iterative (turbo) soft interference cancellation and decoding for coded CDMA,” - Wang, Poor - 1999 |

379 | Detection algorithm and initial laboratory results using V-blast space-time communication architecture
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Citation Context ...MIMO systems with many antennas. In practice, designers often prefer the deployment of low-complexity MIMO receivers such as the linear [5], [6], the successive interference cancellation-based VBLAST =-=[7]-=- and decision feedback equalizers (DFE) [8]-[14]. The DFE schemes [8]-[14] can achieve significantly better performance than linear ones due to the interference cancellation capabilities of the feedba... |

304 | Frequency domain equalization for single-carrier broadband wireless systems
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Citation Context ...communications systems with guard intervals including those based on orthogonal frequency-division multiplexing (OFDM) [37], [38] and single-carried (SC) modulation with frequency-domain equalization =-=[39]-=-. Consider a MIMO system with NT antennas at the transmitter and NR antennas at the receiver in a spatial multiplexing configuration, as shown in Fig. 1. The system is mathematically equivalent to tha... |

223 |
Adaptive Filter Theory, 4th ed,
- Haykin
- 2002
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Citation Context ...d a large number of received symbols to reach its steady-state behavior. There are many algorithms for designing MIMO equalizers, which possess different trade-offs between performance and complexity =-=[19]-=-. In this regard, least squares (LS)-based algorithms are often the preferred choice with respect to convergence performance. However, when the number of filter elements in the equalizer is large, an ... |

206 | Outdoor MIMO wireless channels: models and performance prediction
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Citation Context ...owerful and effective approaches in low-sample support situations and in problems with large filters. These algorithms can exploit the low-rank nature of signals that are found in MIMO communications =-=[36]-=- in order to achieve faster convergence speed, increased robustness against interference and better tracking performance than full-rank techniques. By projecting the input data onto a low-rank subspac... |

195 |
Information geometry and alternating minimization procedures. Stat Decis supplement issue 1:205–237
- Csiszár, Tusnády
- 1984
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Citation Context ... SD,j [i] and w̄j [i] of the proposed scheme. We first highlight the alternating optimization nature of the proposed algorithms and make use of recent convergence results for this class of algorithms =-=[40]-=-, [41]. In particular, we present a set of sufficient conditions under which the proposed algorithms converge to the optimal estimators. This is corroborated by our numerical studies that verify that ... |

106 | A multistage representation of the Wiener filter based on orthogonal projections,”
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- 1998
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Citation Context ...ormation matrix formed by appropriately selected eigenvectors computed with the EVD. A more recent and elegant approach to the problem was taken with the advent of the multistage Wiener filter (MSWF) =-=[22]-=-, which was later extended to adaptive versions in [23], [24], and MIMO applications [25]. Another related method is the auxiliary vector filtering (AVF) algorithm [26]-[28], which can outperform the ... |

105 | Multi-input multi-output fading channel tracking and equalization using kalman estimation, - Komnikakis, Fragouli, et al. - 2002 |

74 | The finite-length multi-input multi-output MMSE-DFE,”
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Citation Context ...sider a MIMO system with NT antennas at the transmitter and NR antennas at the receiver in a spatial multiplexing configuration, as shown in Fig. 1. The system is mathematically equivalent to that in =-=[9]-=-. The signals are modulated and transmitted from NT antennas over multipath channels whose propagation effects are modelled by finite impulse response (FIR) filters with Lp coefficients, and are recei... |

74 |
MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation
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Citation Context ... in multipath channels. However, it can also serve as a model for broadband MIMO communications systems with guard intervals including those based on orthogonal frequency-division multiplexing (OFDM) =-=[37]-=-, [38] and single-carried (SC) modulation with frequency-domain equalization [39]. Consider a MIMO system with NT antennas at the transmitter and NR antennas at the receiver in a spatial multiplexing ... |

68 |
Adaptive reduced-rank processing based on joint and iterative interpolation, decimation, and filtering,”
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Citation Context ...r is large, an adaptive LS-type algorithm requires a large number of samples to reach its steady-state behavior and may encounter problems in tracking the desired signal. Reduced-rank techniques [20]-=-=[34]-=- are powerful and effective approaches in low-sample support situations and in problems with large filters. These algorithms can exploit the low-rank nature of signals that are found in MIMO communica... |

63 |
Equalizers for Multiple Input Multiple Output Channels and PAM Systems with Cyclostationary Input Sequences
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Citation Context ...mplementation costly for multipath channels with severe ISI and MIMO systems with many antennas. In practice, designers often prefer the deployment of low-complexity MIMO receivers such as the linear =-=[5]-=-, [6], the successive interference cancellation-based VBLAST [7] and decision feedback equalizers (DFE) [8]-[14]. The DFE schemes [8]-[14] can achieve significantly better performance than linear ones... |

62 | MinimumMean Squared Error Iterative Successive Parallel Arbitrated Decision Feedback Detectors for DS-CDMA Systems,
- Lamare, Sampaio-Neto
- 2008
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Citation Context ...scheme employs two sets of filters and stacks the decision and the input data vectors for joint processing. The decision feedback strategy adopted in this work is the parallel scheme reported in [9], =-=[13]-=-, which firstly obtains the decision vector x̂T,j [i] with linear equalization and then employs x̂T,j [i] to cancel the interference caused by the interfering streams. A decision delay δdec is assumed... |

61 | Linear and Nonlinear Programming, 2nd ed. - Luenberger - 2003 |

57 | Adaptive reduced-rank interference suppression based on the multistage Wiener filter,
- Honig, Goldstein
- 2002
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Citation Context ...ectors computed with the EVD. A more recent and elegant approach to the problem was taken with the advent of the multistage Wiener filter (MSWF) [22], which was later extended to adaptive versions in =-=[23]-=-, [24], and MIMO applications [25]. Another related method is the auxiliary vector filtering (AVF) algorithm [26]-[28], which can outperform the MSWF. A key limitation with prior art is the deficient ... |

52 | Reduced-rank adaptive filtering based on joint iterative optimization of adaptive filters - Lamare, Sampaio-Neto - 2007 |

48 |
On the relation between V-BLAST and the GDFE”,
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- 2001
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Citation Context ...e, designers often prefer the deployment of low-complexity MIMO receivers such as the linear [5], [6], the successive interference cancellation-based VBLAST [7] and decision feedback equalizers (DFE) =-=[8]-=--[14]. The DFE schemes [8]-[14] can achieve significantly better performance than linear ones due to the interference cancellation capabilities of the feedback section. These receivers require the est... |

42 |
The SVD and reduced rank signal processing,
- Scharf
- 1991
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Citation Context ... the proposed algorithm via induction and show that that the sequence of estimators SD,j [i] and w̄j [i] produces a sequence of outputs that is bounded and converges to the reduced-rank Wiener filter =-=[20]-=-,[21]. A. Sufficient Conditions for Convergence In order to develop the analysis and proofs, we need to define a metric space and the Hausdorff distance that will be used extensively. A metric space i... |

41 | An iterative algorithm for the computation of the MVDR filter, - Pados, Karystinos - 2001 |

40 | Reduced-rank space-time adaptive interference suppression with joint iterative least squares algorithms for spread-spectrum systems,” - Lamare, Sampaio-Neto - 2010 |

37 | Blind adaptive constrained reduced-rank parameter estimation based on constant modulus design for CDMA interference suppression,” - Lamare, Haardt, et al. - 2008 |

37 | Adaptive Reduced-Rank MMSE Filtering with Interpolated FIR Filters and Adaptive Interpolators - Lamare, Sampaio-Neto - 2005 |

35 | Adaptive MBER decision feedback multiuser receivers in frequency selective fading channels”, - Lamare, Sampaio-Neto - 2003 |

28 | Adaptive Interference Suppression for DS-CDMA Systems based on Interpolated FIR Filters with Adaptive Interpolators in Multipath Channels - Lamare, Sampaio-Neto - 2007 |

27 | Joint iterative interference cancellation and parameter estimation for CDMA Systems, - Lamare, Sampaio-Neto, et al. - 2007 |

27 |
Adaptive MIMO decision feedback equalization for receivers with timevarying channels,”
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- 2005
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Citation Context ...esigners often prefer the deployment of low-complexity MIMO receivers such as the linear [5], [6], the successive interference cancellation-based VBLAST [7] and decision feedback equalizers (DFE) [8]-=-=[14]-=-. The DFE schemes [8]-[14] can achieve significantly better performance than linear ones due to the interference cancellation capabilities of the feedback section. These receivers require the estimati... |

27 |
Data-record-based criteria for the selection of an auxiliary vector estimator of the MMSE/MVDR filter
- Qian, Batalama
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Citation Context ...stage Wiener filter (MSWF) [22], which was later extended to adaptive versions in [23], [24], and MIMO applications [25]. Another related method is the auxiliary vector filtering (AVF) algorithm [26]-=-=[28]-=-, which can outperform the MSWF. A key limitation with prior art is the deficient exchange of information between the dimensionality reduction task and the subsequent reduced-rank estimation. In this ... |

24 | Highrate space-time coded large-MIMO systems: Low-complexity detection and channel estimation,”
- Mohammed, Zaki, et al.
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Citation Context ...itted symbols. A challenging problem in MIMO systems [15] is encountered when the number of elements in the equalizer or the number of antenna pairs is large, which is key to future applications [16]-=-=[18]-=-. In these situations, an estimation algorithm requires substantial training for the MIMO equalizer and a large number of received symbols to reach its steady-state behavior. There are many algorithms... |

17 | Multiple output selection-LAS algorithm in large - Li, Murch - 2010 |

13 | Blind Adaptive MIMO Receivers for Space-Time Block-Coded DS-CDMA Systems in Multipath Channels Using the Constant Modulus Criterion”,
- Lamare, Sampaio-Neto
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Citation Context ...entation costly for multipath channels with severe ISI and MIMO systems with many antennas. In practice, designers often prefer the deployment of low-complexity MIMO receivers such as the linear [5], =-=[6]-=-, the successive interference cancellation-based VBLAST [7] and decision feedback equalizers (DFE) [8]-[14]. The DFE schemes [8]-[14] can achieve significantly better performance than linear ones due ... |

13 | de Lamare and Raimundo Sampaio-Neto, “Reduced-rank Interference Suppression for DS-CDMA based - C - 2005 |

13 | Adaptive ReducedRank MMSE Parameter Estimation based on an Adaptive Diversity Combined Decimation and Interpolation Scheme - Lamare, Sampaio-Neto |

12 | Adaptive Alternating Minimization Algorithms
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Citation Context ...[i] and w̄j [i] of the proposed scheme. We first highlight the alternating optimization nature of the proposed algorithms and make use of recent convergence results for this class of algorithms [40], =-=[41]-=-. In particular, we present a set of sufficient conditions under which the proposed algorithms converge to the optimal estimators. This is corroborated by our numerical studies that verify that the me... |

7 |
Computing the reduced rank Wiener filter by
- Hua, Nikpour
- 1999
(Show Context)
Citation Context ...proposed algorithm via induction and show that that the sequence of estimators SD,j [i] and w̄j [i] produces a sequence of outputs that is bounded and converges to the reduced-rank Wiener filter [20],=-=[21]-=-. A. Sufficient Conditions for Convergence In order to develop the analysis and proofs, we need to define a metric space and the Hausdorff distance that will be used extensively. A metric space is an ... |

5 |
24-Port and 36-Port antenna cubes suitable for MIMO wireless communications
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Citation Context ...ransmitted symbols. A challenging problem in MIMO systems [15] is encountered when the number of elements in the equalizer or the number of antenna pairs is large, which is key to future applications =-=[16]-=--[18]. In these situations, an estimation algorithm requires substantial training for the MIMO equalizer and a large number of received symbols to reach its steady-state behavior. There are many algor... |

2 |
Auxiliary Vector Filters and Adaptive Steering for DS-CDMA Single-User Detection
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- 1999
(Show Context)
Citation Context ...multistage Wiener filter (MSWF) [22], which was later extended to adaptive versions in [23], [24], and MIMO applications [25]. Another related method is the auxiliary vector filtering (AVF) algorithm =-=[26]-=--[28], which can outperform the MSWF. A key limitation with prior art is the deficient exchange of information between the dimensionality reduction task and the subsequent reduced-rank estimation. In ... |